Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/9740
Title: Adaptive Sliding-Mode-Observer-Based Fault Reconstruction for Nonlinear Systems With Parametric Uncertainties
Authors: Yan, Xing-Gang
Edwards, Christopher
First Published: 19-Aug-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: IEEE Transactions on Industrial Electronics, 2008, 55 (11), pp. 4029-4036.
Abstract: In this paper, a class of nonlinear systems with uncertain parameters is considered. A novel adaptive law is designed to identify unknown parameters under the assumption that the time derivative of some of the outputs is measurable. Then, a sliding-mode observer is proposed to estimate the system state variables. By using the inherent features of sliding-mode observers, a fault-reconstruction scheme is proposed which can be implemented online. The proposed reconstruction signal can approximate the fault signal to any required accuracy even in the presence of uncertain parameters. A simulation example for a magnetic-levitation system is given to illustrate the feasibility and effectiveness of the proposed scheme.
DOI Link: 10.1109/TIE.2008.2003367
ISSN: 0278-0046
Links: http://ieeexplore.ieee.org/
http://hdl.handle.net/2381/9740
Type: Article
Rights: © 2008 IEEE.
Description: Metadata only entry.
Appears in Collections:Published Articles, Dept. of Engineering

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